Skip to content

ARAX HOLDINGS CORP.: filings

Every ARAX HOLDINGS CORP. annual and quarterly report in the SEC record with the published financial measures it tagged, 37 filings, each linked to its SEC index.

Filings with published measures

Each page shows what one filing reported, as tagged in that filing, with the periods it covered. Later filings can restate a value; the company overview shows the latest-filed value per period.

FormFiledFiscal periodMeasuresFactsSEC accession
10-K2026-06-10fiscal FY 202434660001753926-26-000995
10-Q2024-09-23fiscal Q3 202432910001753926-24-001616
10-Q2024-09-11fiscal Q2 202432870001753926-24-001561
10-Q2024-05-02fiscal Q1 202423470001753926-24-000903
10-K2024-04-26fiscal FY 202327460001753926-24-000855
10-Q2023-09-22fiscal Q3 202328700001753926-23-001252
10-Q2023-06-20fiscal Q2 202326660001753926-23-000809
10-Q2023-03-17fiscal Q1 202320390001753926-23-000287
10-K2023-02-09fiscal FY 202218330001753926-23-000115
10-Q2022-09-15fiscal Q3 202219580001753926-22-001266
10-Q2022-06-14fiscal Q2 202219520001753926-22-000869
10-Q2022-03-17fiscal Q1 202216300001753926-22-000323
10-K2022-02-07fiscal FY 202117200001753926-22-000159
10-Q2021-09-21fiscal Q3 202117290001753926-21-000451
10-Q2021-05-19fiscal Q2 202120560001829126-21-004076
10-Q2021-05-19fiscal Q1 202119400001829126-21-004075
10-K2021-04-22fiscal FY 202020220001829126-21-002805
10-K2017-09-28fiscal FY 201618350001214659-17-005755
10-Q2017-06-14fiscal Q3 201616390001214659-17-004007
10-Q/A2017-03-06fiscal Q2 201616390001214659-17-001686
10-Q/A2017-03-06fiscal Q1 201615260001214659-17-001684
10-K/A2016-07-12fiscal FY 201520400001019056-16-001402
10-Q2016-07-12fiscal Q2 201619520001019056-16-001400
10-Q2016-03-16fiscal Q1 201618360001019056-16-001189
10-K2016-02-16fiscal FY 201518360001019056-16-001119
10-Q2015-09-18fiscal Q3 201518460001019056-15-000767
10-Q2015-06-19fiscal Q2 201516420001019056-15-000592
10-Q2015-03-26fiscal Q1 201517340001019056-15-000353
10-Q2015-03-23fiscal Q1 201517340001019056-15-000339
10-K2015-02-13fiscal FY 201420400001019056-15-000183
10-Q2014-09-22fiscal Q2 201421640001019056-14-001178
10-Q2014-09-22fiscal Q3 201420610001019056-14-001176
10-Q2014-06-16fiscal Q2 201420540001019056-14-000843
10-Q2014-03-17fiscal Q1 201422600001019056-14-000401
10-K2014-01-13fiscal FY 201317430001566243-14-000004
10-Q2013-08-29fiscal Q3 201318400001566243-13-000004
10-Q2013-05-29fiscal Q2 201310210001566243-13-000002

Inspect the source

Entity
ARAX HOLDINGS CORP. / CIK 0001566243
Captured
2026-09-21T17:20:46.366Z
SEC response SHA-256
d47d067100e5c4d4c326a58340f59a7461eec56e3e1a912667bf7deadd583d52

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Every published concept a filing tagged, with the periods it covered, as reported in that filing at capture time. Forms 10-K, 10-K/A, 10-Q, 10-Q/A, 20-F, 20-F/A, 40-F, 40-F/A. A filing page needs at least 8 published concepts. Later filings can restate these values; the company history pages show the latest-filed value per period.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001566243.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))